LEARNING TOMORROW: VISUALISING STUDENT AND STAFF’S DAILY ACTIVITIES AND REFLECT ON IT Margreet Riphagen1, Marco van Hout2, Daan Krijnen3, Gijs Gootjes4[removed]Amsterdam University of Applied Sciences (AUAS), the Netherl

Source URL: medialab.hva.nl

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Awards & Announcements Dr. Tong Zhang Machine Learning Methods for Big Data Analytics This project studies methods for scalable data analysis, including sampling methods, dimensionality reduction techniques as well as l

Source URL: www.stat.rutgers.edu

Data Stream Mining and Analytics: From Hurricanes to Personalized Medicine Extend state-of-the-art data stream clustering to model temporal/order aspects of stream data to improve hurricane intensity prediction and enabl

Source URL: michael.hahsler.net

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Source URL: www.averbis.com

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Data mining interactions in a 3D immersive environment for real-time feedback during simulated surgery Gregor Kennedy Centre for the Study of Higher Education University of Melbourne Ioanna Ioannou

Source URL: www.cshe.unimelb.edu.au

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Source URL: www.mldm.de

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Analytics in Higher Education: Establishing a Common Language

Source URL: net.educause.edu

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Source URL: users.wpi.edu

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Learning Measurement for Analytics Whitepaper Opportunity The online educational landscape continues to yield significant growth in online digital curriculum development, delivery and enrollment. There is also a continue

Source URL: www.imsglobal.org

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